In the monthly REALTORS® Confidence Index Survey, the National Association of REALTORS® asks members “In the neighborhood or area where you make most of your sales, what are your expectations for residential property prices over the next year?”
Among REALTORS® who responded to the March 2016 survey, the national median expected price change over the next 12 months was 3.7 percent (3.6 percent in February 2016; 3.5 percent in March 2015), according to the March 2016 REALTORS® Confidence Index Survey Report.
The map below shows the median expected price change in the next 12 months for each state based on the January–March 2016 surveys. The typical respondent expected prices to increase by more than five percent to seven percent in each of the states of Washington, Oregon, Colorado, and the District of Columbia. REALTOR® respondents from California, Minnesota, Michigan, and Florida also expected strong price growth, with the median expected price growth at four to five percent in each of these states.REALTORS® expect housing price growth to moderate as rising prices have made homes less affordable for many. The gap in demand and supply has led to strong price growth especially in California, Colorado, Florida, Oregon, South Carolina, Utah, and Washington. Of the 179 metro areas that NAR tracks and has price data on, 30 metro areas (17 percent) experienced price growth in the range of ten to 25 percent in the fourth quarter of 2015 compared to the levels in the fourth quarter of 2014.
 Respondents were asked “What are your expectations for the housing market over the next six months compared to the current state of the market in the neighborhood(s) or area(s) where you make most of your sales?”
May is the Asian-Pacific American Heritage Month, so in a series of blogs, we look at some demographic and real estate data regarding the Asian population. In this first blog, we look at the size of the Asian population and where they live.
The Asian Population and Where They Live
The Census Bureau estimates that in July 2015, the Asian population stood at 17.5 million (5.5% of U.S. population). Over the next 45 years, the Asian population is expected to steadily rise to 24.7 million (7.3% of U.S. population) by 2030 and to 39.9 million by 2060 (9.3% of U.S. population).Based on data from the 2014 American Community Survey, there were 15.7 million Asians in 2014, representing 4.8 percent of the population. The largest groups were the Chinese (3.71 Mil; 23.6%), Asian Indians (3.11 Mil; 19.8%), Filipinos (2.65 Mil; 16.9%), Vietnamese (1.68 Mil; 10.7%), Koreans (1.45 M; 9.3%), and Japanese (0.79 Mil; 5.0%).Asians reside across all U.S. states but are concentrated in California (31.3%), New York (9.1%), Texas (6.9%), New Jersey (4.5%), Hawaii (3.9%), Illinois (3.8%), Washington (3.5%), Florida (3.4%), and Virginia (3.1%). California is the preferred destination among the major Asian races, especially among Filipinos of which nearly one in two reside in California. Proximity to Asia, the presence of family relatives, and job prospects may explain the decision of Asians to reside in these states.
What this means to REALTORS®: The Asian population is expected to increase significantly in the next decades from about five percent of the U.S. population in 2015 to nearly 10 percent in 2060. Asians are relatively highly educated and Asian households have one of the highest median incomes among all races. These trends are expected to have a positive impact on Asian homeownership and home sales.
 Refers to the Asian Alone population.
 Source: U.S. Census Bureau, 2014 National Population Projections, Table NP2014-T10.
Market conditions vary across local markets, but the REALTORS® confidence and traffic indices indicate that overall market activity picked up slightly in March 2016 compared to one year ago and to the previous month, according to the March 2016 REALTORS® Confidence Index Survey Report. REALTORS® reported strong demand, but severely low inventory in many states has weighed heavily on sales and has pushed prices up, making homes increasingly unaffordable, especially for first-time buyers.
First-time home buyers accounted for 30 percent of sales. Purchases for investment purposes made up 14 percent of sales, while distressed properties were eight percent of sales. Cash sales accounted for 25 percent of sales. Nationally, properties typically were on the market 47 days and took 39 days to close the contract. There are reports that the TILA/RESPA disclosure guidelines have led to longer rate lock and escrow periods.
Very low supply, steep price increases, and lender processing delays were reported as the key issues affecting sales, especially to first-time home buyers. Appraisal backlogs and below-market” and “inconsistent” appraisals were also reported to be causing transaction delays and cancellations.The collapse in oil prices remains a concern in the oil-producing states of North Dakota, Alaska, New Mexico, Wyoming, Oklahoma, Texas, and Montana. Still, with the spring and summer months coming, respondents were generally confident about the outlook for the next six months across all property types. Respondents typically expected prices to increase 3.7 percent in the next 12 months.
 The TILA‒RESPA Integrated Disclosure (TRID) regulations came into effect on October 3, 2015. The new guidelines are intended to provide disclosures that will be helpful to consumers in understanding the key features, costs, and risks of the mortgage for which they are applying.
 The indices are not seasonally adjusted.
In the monthly REALTORS® Confidence Index Survey, the National Association of REALTORS® (NAR) asks members to rate the past month’s buyer and seller traffic in the neighborhood or area where they make most of their sales. NAR compiles the responses on buyer traffic into a REALTORS® Buyer Traffic Index and the responses on seller traffic into a REALTORS® Seller Traffic Index.
The maps below show the condition of buyer and seller traffic using data collected from January‒March 2016, according to the March 2016 REALTORS® Confidence Index Survey Report.
Measured by the REALTORS® Buyer Traffic Index, buyer traffic was “strong” in many states except in North Dakota, Wyoming, and West Virginia. North Dakota and Wyoming are being adversely impacted by the slump in oil prices and cutbacks in oil drilling. Texas, which has a more diversified economy than North Dakota and Wyoming, continues to experience “strong” buyer demand.Amid strong demand, seller traffic was “weak” across most states, measured by the REALTORS® Seller Traffic Index. REALTORS® reported low inventory of properties in the lower price range and for those that are move-in ready.
Although the number of permits authorized for new privately owned housing units has been improving (1.14 million units in the 12 months ended March 2016), 53 percent of new construction has been multi-family structures, which are mostly for rental occupancy. In 2005, multi-family structures accounted for only 20 percent of new construction, so the availability of single-units for purchase among recently constructed properties is lower than is historically normal. Across all regions, housing starts for 1-unit housing remain below the levels in 2000.
 In 2015Q4, about 95 percent of the multi-family units completed were for rental occupancy with regions varying from 87 percent in the Northeast to 98 percent in the Midwest. Source: Census Bureau. Quarterly Starts and Completions by Purpose and Design, Units Per Building, 2015 preliminary data. ttps://www.census.gov/construction/nrc/pdf/quarterly_starts_completions.pdf
 The index for each state is based on data for the last three months to increase the observations for each state. Small states such as AK, ND, SD, MT, VT, WY, WV, DE, and D.C., may have fewer than 30 observations. Respondents were asked “How do you rate the past month’s buyer traffic in the neighborhood(s) or area(s) where you make most of your sales?” Respondents rated conditions or expectations as “Strong (100),” “Moderate (50),” and “Weak (0).” The responses are compiled into a diffusion index. Index values 25 and lower are considered “very weak,” values greater than 25 to 49 are considered “weak,” a value of 50 is considered “moderate,” values greater than 50 to 75 are considered “strong,” and values greater than 76 are considered “very strong.”
- Today, Case Shiller released their housing price index data for February 2016. Case Shiller data showed that house prices rose roughly 5 percent in all three indices since February 2015. The national index gained 5.3 percent, while the 10-city composite rose 4.6 percent and the 20-city composite rose 5.4 percent year over year. While the gain in the national index was unchanged in February vs. January, the gain in the 10-city and 20-city indices were lower in February than the previous month.
- Last week, the Federal Housing Finance Agency (FHFA)and the National Association of Realtors® (NAR) reported price data.
- NAR data showed that prices grew at a 5.1 percent pace from February 2015 to February 2016, a slower pace than previous months. NAR also reported on new March 2016 data which showed a slight bump up to 5.7 percent growth from one year ago.
- FHFA data showed that prices were up 5.6 percent in February from one year ago, slightly slower than the pace seen in recent months.
- Recent housing price data at the national level suggests that home prices continue to increase at a strong pace—faster than what would be considered typical. Strong buyer demand and low inventories coupled with still relatively low levels of new construction are continuing to push prices up and keep housing market tipped in favor of sellers in most local markets. However, prices in some areas are creating affordability concerns that may dampen demand and slow the pace of increase in the months to come.
- Potential buyers and sellers should be sure to put the national numbers in the context of what is going on in their local markets. The fastest overall growth rates in the Case Shiller data were seen in Portland (11.9%), Seattle (11.0%), and Denver (9.7%) in the year ending February 2016. By contrast, Washington DC (1.4%), Chicago (1.8%), and New York (2.1%) were the slowest growing markets. Data shows that sellers in these somewhat weaker areas may not have as much power to demand higher prices for their homes given the local market. How does your market compare to the national price trends?
- NAR reports the median price of all homes that have sold while Case Shiller and the Federal Housing Finance Agency report the results of a weighted repeat-sales index. Case Shiller uses public records data which has a reporting lag. To deal with the lag, Case Shiller data is based on a 3 month moving average, so reported February prices include information from repeat transactions closed in December, January, and February. For this reason, changes in the NAR median price tend to lead Case Shiller and may suggest that additional strong price growth could be on the horizon. The current strong pace is a reflection of continued demand from buyers in an economy where jobs are still being created and there is a low supply of homes for sale. While affordability is a concern in an environment where home price growth is outpacing income growth and mortgage rates are expected to rise, demand has been strong enough in most areas to shake off this concern.
- NAR released a summary of existing-home sales data showing that the housing market sales increased and bounced back from last month, as March’s existing-home sales reach the 5.33 million seasonally adjusted annual rate. March’s existing sales are up 1.5 percent from a year ago.
- The national median existing-home price for all housing types was $222,700 in March, up 5.7 percent from a year ago.
- Regionally, all regions showed growth in prices from a year ago, with the Midwest leading at 7.0 percent. The West followed with a 5.9 percent increase while the South had the smallest gain of 4.6 percent. The Northeast had an increase of 5.8 from March 2015.
- From February, all regions experienced increases in sales. The Northeast and Midwest dominated regional sales. The Northeast had an increase of 11.1 percent while the Midwest had 9.8 percent increase. The West had the smallest increase of 1.8 percent and the South increased 2.7 percent.
- All regions showed gains in sales from a year ago, except the West where sales declined 2.5 percent. The Northeast had the biggest increase of 7.7 percent while the Midwest had the smallest gain of 0.8 percent. The South leads all regions in percentage of national sales at 42.2 percent while the Northeast has the smallest share at 13.1 percent.
- March’s inventory figures are up 5.9 percent from last month to 1.98 million homes for sale but the level remains unhealthy. Inventories are down 1.5 percent from a year ago. It will take 4.5 months to move the current level of inventory at the current sales pace. It takes approximately 47 days for a home to go from listing to a contract in the current housing market compared to 52 days a year ago.
- Single family sales increased 5.5 percent while condos also increased modestly at 1.8 percent compared to last month. Single family home sales increased 2.6 percent but condo sales are down 6.6 percent from a year ago. Both single family and condos had an increase in price with single family up 5.8 percent and condos up 4.6 percent from March 2015.
This blog post was written by Brian Horowitz, Research Survey Analyst.
In 2005, the question “primary reason for selling previous home” was added to the Home Buyer and Seller survey. Historically, the results have unfluctuating results with a few slight changes since the recession.
- Throughout the survey’s history the response “home is too small” is the largest reason that people move; however, since 2011 the percent of respondents has hovered within the mid-teens.
- In 2009, the second most common reason to move, “job relocation”, decreased and has since remained level. In 2008, it peaked to a rate of 22% and in 2015 it was reported to be at 14%.
- “Move to avoid foreclosure” was added to the survey in 2011, and reached its peak that year at 8%. The following year the percent of respondents drastically decreased to 1%.
- Interestingly, “moving due to retirement” has slightly increased from 3% in 2005 to 7% in 2015. There is also a small amount of growth in desire to be closer to friends and family, which could be a result of retirement, as well.
Commercial real estate (CRE) notched another year of growth in 2015, favored by continued macroeconomic growth and broadening capital markets, according to the Expectations & Market Realities in Real Estate 2016: Navigating through the Crosscurrents report, released by Deloitte, the National Association of REALTORS®, and Situs RERC. While global economies decelerated, leading to volatility in financial indices, U.S. gross domestic product rose, employment growth accelerated toward the tail end of the year, and housing prices reached new heights. In addition, the Federal Reserve signaled a shift in its monetary policy by raising its target funds rate, as core inflation hovered around its target range of 2.0 percent.
Commercial vacancy rates declined for the core property types. Availability is expected to continue contracting for office, industrial and retail properties in 2016. Vacancies for apartments are estimated to rise, due to gains in supply. Commercial rents have risen across the board, and are projected to advance this year in the 2.5 percent to 4.0 percent range.
CRE sales volume continued its positive trend in 2015, with $534 billion in closed transactions, compared with $432 billion in 2014, based on data from Real Capital Analytics (RCA). Most of the transactions reported by RCA are based on data aggregated at the top end of the market—above $2.5 million.
In contrast to the large commercial transactions reported by RCA, commercial REALTORS® managed transactions averaging $1.8 million per deal, frequently located in secondary and tertiary markets, and focused on small businesses and entrepreneurs. The Commercial Real Estate Lending Trends 2016 report shines the spotlight on this significant segment of the economy—a segment which tends to be somewhat obscured by reports on Class A trophy commercial properties.
Most financing indicators in REALTOR® markets notched another year of sustainable recovery. As CRE asset prices strengthened, financing improved in 2015. However, on the broader issue of lending conditions, REALTORS® pointed to a marked shift from the trend of the past five years. In 2016, 33 percent of respondents reported tightening lending conditions, a noticeable increase from the prior year’s 23 percent. At the same time, the percentage of members who reported that lending eased dropped from 42 percent in 2015 to 31 percent in 2016.
The change in lending conditions seems to coincide with financial regulators’ renewed focus on banks’ CRE loans. Regulators have expressed concern that in light of CRE markets’ rapid rise in prices over the past couple of years, banks have loosened underwriting standards. While the rise in prices during 2015 was pronounced at the high end of the market ($2.5 million and above), in REALTOR® markets, price appreciation was more moderate. Moreover, prices have been declining at the higher end for the first few months of 2016.
Bank lending remains an important source of CRE funding in REALTOR® markets, comprising 64.0 percent of capital. Local and community banks played a central role, with 31.0 percent of the market, followed by regional banks, at 25.0 percent. National and international banks accounted for a combined 9.0 percent of capital.
The incidence of failed transactions, due to lack of financing reached a new low. REALTORS® cite uncertainty from legislative and regulatory initiatives as the most relevant cause of bank capital shortage for CRE.
For more information and the full report, access NAR’s Commercial Real Estate Lending Trends 2016 at http://www.realtor.org/reports/commercial-lending-trends-survey.
In the age of social media interconnectedness, online vacation rental sites like AirBnb and HomeAway have gotten popular with travelers both at home and abroad. This could be benefitting vacation property buyers in some areas. In comparison to investors, who generally plan on renting their properties for 365 days, vacation buyers prefer short term rentals – those rentals that are 30 days or less at a time. Data from the latest Investment and Vacation Home Buyers Survey shows that 40 percent of buyers of vacation homes will at least try or plan to rent out their properties for a short term in 2016, while 24 percent rented or tried to rent their property in 2015.
Twelve percent of vacation buyers who rented in 2015 plan to do so again in 2016. Twelve percent of those who tried to rent in 2015 plan to try again in 2016. Of those who didn’t try to rent in 2015, 8 percent plan to rent in 2016 and of those who didn’t rent (didn’t try to rent it) in 2015, 8 percent plan to in 2016.
Seasons are important in deciding when to rent. Thirty-eight percent of vacation buyers will rent their property in the summer, 17 percent in the winter, 14 percent in the fall and 11 percent in the spring, making spring a lower popularity time of year. Thirteen percent are willing to rent any time of year. Vacation buyers are more likely to use a property manager or social media to rent their property, while investors are more likely to use a traditional real estate agency.
Vacation buyers are motivated to rent their properties for additional income. More often than investors, they want rental income to help pay down the mortgage faster. Eighty-nine percent of vacation buyers reported potential rental income at least moderately impacted the monthly costs of ownership through additional income to mortgage.
In the latest HOME (Housing Opportunities and Market Experience) Survey, 96 percent of buyers 34 and under answered yes to the question: “Do you ever want to buy a home in the future?” Millennials are already the largest group of home buyers compared to other generations at 35 percent, but many of them face distinct speed bumps or even detours on the road to homeownership (such as student debt, rising home prices in some areas, and tightness of credit availability). This post looks at Millennials’ desire to own and compares it by region and to the national figures.
Nationally, 85 percent of those buyers aged 34 and under believe that buying a home is a good financial decision. Twenty-seven percent own their own home, while 48 percent are renters. The main reason they currently don’t own is because they can’t afford to buy, at 57 percent, while 40 percent say that a lifestyle change such as marriage, starting a family, or a new job situation would be the major impetus for becoming homeowners in the future. Eighty-eight percent believe that homeownership is part of their American dream.
In the Northeast, 84 percent of Millennials believe buying a home is a good financial decision, while 88 percent believe homeownership is part of their American dream. In the Midwest, 84 percent also believe buying a home is a good decision and 84 percent believe ownership is part of their American dream. In the South, the numbers are slightly higher with 85 percent in favor of buying as a good financial decision and 91 percent believe that homeownership is part of their American dream. Finally, in the West, the numbers are 86 percent and 90 percent respectively.
While Millennials, or Gen Y, are the largest group of homebuyers, Gen X is also an important generational group. For starters they comprise 26 percent of recent buyers and are the most racially and ethnically diverse population of buyers. They also are in their peak income-making years and have the highest median priced home of all other buyers and the largest homes in median square footage and bedrooms. According to the latest HOME (Housing Opportunities and Market Experience) Survey, they are more certain than Millennials that buying a home is a good financial decision at 90 percent, and less sure than buying a home is part of their American dream at 87 percent.
More Gen X respondents own than rent, at 66 to 30 percent respectively. However, like Millennials, those that aren’t buying cite the inability to afford to buy a home as their main reason for not doing so. The circumstances that would have to change for them to become homeowners in the future was twofold: an improvement in their financial situation and a lifestyle change such as marriage, starting a family or new job situation were both tied at 29 percent. When asked if they ever want to own a home in the future, 88 percent answered yes.
Looking at regional attitudes towards buying, Gen X is fairly optimistic across the board although there are differences. In the Northeast, 86 percent feel that buying a home is a good financial decision while 79 percent feel ownership is part of their American dream. In the Midwest, 93 percent feel that buying is a good financial decision while 86 percent believe owning is part of their American dream. In the South, 90 percent feel that buying is a good financial decision and that ownership is part of the American dream for 91 percent. Finally, in the West 92 were percent in favor of buying as good financial decision and 86 percent believe owning is part of their American dream.
Lenders appear to be making headway in the TRID environment. With the busy spring market underway, this trend bodes well for the looming surge in seasonal volumes.
The average time-to-close was unchanged from February at 43.3. To adjust for seasonal affects it is best to compare March to March of 2015. Relative to the same time in 2015, the time-to-close was 3.3 days higher reflecting TRID-related delays. However, the February year-over-year increase was 5.2. The decline in days delayed suggests that lenders are adjusting to the TRID regulations and reducing time to close.
There was a shift in the distribution of closing from February to March as well. The share of closing that took longer than 45 days fell from 45.0 percent to 43.8 percent. Conversely, the share that took less than 30 days slipped from 23.6 percent to 22.3 percent. On net, there was a shift in time to close to the 30 to 45-day range. The decline in closing that took under 30 day and the increase in the middle range repeated the pattern from February to March of 2015 and was likely due to a seasonal increase in closing volume weighing on production resources. However, the decline in closing that took longer than 45 days was unique and suggests a net improvement.
The March reading of time-to-close was another positive step in the post-TRID environment. Volumes will rise in the weeks and months ahead as the spring market peaks. Partnering with lenders who are collaborative and who have successfully navigated TRID without delays will help to assure smooth settlements in 2016.
While home price growth eased to a slower pace last month, at the national level, housing affordability is down from a year ago as rates are modestly higher and price growth continues to outstrip household income growth.
Housing affordability declined from a year ago in February pushing the index from 181.3 to 174.9. The median sales price for a single family home sold in February in the US was $212,300, up 4.3 percent from a year ago.
- Nationally, mortgage rates were up 12 basis points from one year ago (one percentage point equals 100 basis points) while incomes rose approximately 2.1 percent. Income growth means the median family earns $118 more per month than February 2015.
- Regionally, three of the four regions saw declines in affordability from a year ago. The Northeast had the only increase of 2.3 percent. The Midwest had the biggest decline in the affordability index of 6.1 percent followed by the West with 5.2 percent. The South had the smallest dip in affordability at 4.9 percent.
- The West had the biggest increase in price at 7.4 percent while the Northeast experienced a slight decline in prices at -1.0 percent. The Midwest and the South had sizeable gains in prices of 6.3 percent and 4.5 percent increase in single family home prices, respectively.
- By region, affordability is up in all regions from last month. The Northeast (2.7 percent) had the biggest increase and both the Midwest and South shared the smaller increase of (1.9 percent) and the West had the least at (1.8 percent).
- Despite month to month changes, the most affordable region is the Midwest where the index is 223.8. The least affordable region remains the West where the index is 126.8. For comparison, the index is 181.3 in the South, 177.4 in the Northeast.
- Currently mortgage applications are up and rates have not made the jump as expected. A shortage of inventory is having an impact on sales across many metro markets. New homes sales would support this inventory issue and be assisted by increases in permits and land to build on, and hiring of construction workers.
- What does housing affordability look like in your market? View the full data release here.
- The Housing Affordability Index calculation assumes a 20 percent down payment and a 25 percent qualifying ratio (principle and interest payment to income). See further details on the methodology and assumptions behind the calculation here.
When a household chooses where to live, it is said that it has already chosen a set of local public goods (schools, parks, and public safety) and a set of taxes to finance the public goods. Based on theories from Urban Economics, people locate across neighborhoods according to their preferences for public goods, social characteristics and other factors (such as job relocation, closer to friends or family). Aside from theories, let’s see where most people moved in 2014 in reality.
A couple of weeks ago the Internal Revenue Service (IRS) made available migration data for 2013-2014 including migration patterns for counties and states. Taking a closer look at the state-to-state migration flows, about one third of the states had more in-migrants than out-migrants. Texas was in the top of the list followed by Florida and South Carolina.
But what does this influx of new residents mean for those local governments?
The IRS reports adjusted gross income figures for both in-migrants and out-migrants. Using these figures as a proxy for total household income, the average income by household was computed for both groups. Comparing the average income of the two groups, the following states seem to have both more and higher income in-migrants than out-migrants: Florida, Nevada, South Carolina, New Hampshire, Montana, Idaho, Tennessee, Arizona, North Carolina, Oregon, Maine and Washington.
The highest gaps in the average income between the two groups were found in Florida ($27,500), Nevada ($17,800), South Carolina ($14,900), New Hampshire ($9,400) and Montana ($7,200). Without implying causation, this influx of new residents can provide local governments with a substantial boost in their tax base and also the local economy as more people with higher income, and likely higher wealth, moved in those areas.
Furthermore, looking at the level of total employment (nonfarm), it seems that the areas with gains in net migration had also gains in job market. While the relationship between migration and employment has many facets, the data showed that more jobs were created in areas with net migration gains in 2014.
Based on NAR’s Survey “2015 Profile of Home Buyers and Sellers”, those are the main reasons for selling previous home and moving 51 miles and further from the previous residence.
 Migration data are based on year-to-year address changes reported on individual income tax returns filed with IRS. The number of inflows shown in the visualization is based on the number of exemptions at state level.
 Average Gross Income= Total Adjusted Gross Income/Number of Returns.
Buying a home with a down payment of less than 20 percent can be expensive, but it just got cheaper for some home buyers. Many private mortgage insurers have dropped the rates they charge high quality borrower. Combined with historically low mortgage rates, this change could unlock ownership and improve affordability for many borrowers.
The Cost of Insurance
While most people focus on mortgage rates, mortgage insurance can add significantly to the cost of borrowing. Fannie Mae and Freddie Mac (the GSEs) require borrowers who puts down less than 20 percent to pay for private mortgage insurance (PMI). The GSEs also charge separate fees called loan level pricing adjustments (LLPAs) for particular borrowers including those who put down less than 20 percent. These two fees, PMI and LLPAs, constitute insurance that low down payment borrowers are charged for conventional loans. Likewise, mortgages backed by the Federal Housing Administration (FHA) are charged a mortgage insurance premium. These mortgage insurance fees can add significant costs to the monthly payment for a home.
Why Are the Fees Changing?
Fannie Mae and Freddie Mac buy loans from lenders, package them into mortgage back securities (MBS), and then sell the MBS to investors with a guarantee that if anything bad happens, the buyer of the MBS will still get their money. This guarantee makes the GSEs insurers against anything that might go wrong including losses on loans greater than what the private mortgage insurers cover or if the private mortgage insurer goes out of business.
During the recent crisis, most insurers took significant losses as loans went bad. Absorbing losses is the insurers’ job, though. Insurers charge fees and use these fees as capital to pay claims as loans go bad. Some insurers did not hold enough capital and subsequently went out of business. When those claims went unpaid or insurers went out of business, those losses had to be paid by the GSEs. To prevent losses like this in the future, the GSEs set up new rules requiring best practices as well as higher amounts of capital of the private insurers with whom they do business.
Furthermore, the GSEs specified that the private mortgage insurers must hold specific amounts of capital against borrowers with particular characteristics. This type of system is called risk-based pricing where riskier borrowers, those with lower credit scores or smaller down payments or other characteristics, pay more. Historically, the GSEs used pooled or average-cost pricing where all borrowers paid the same fee, which reflected the average borrower’s risk.
Who Benefits and Who Loses?
Borrowers with a down payment greater than 10 percent or a credit score greater than 739 will benefit the most from the recent changes. However, borrowers with credit scores under 700 and down payments less than 10 percent will pay more. As depicted below, a borrower with a 760 credit score and a 3 percent down payment will pay $83 less each month, while a borrower with a 630 credit score would pay $128 more.
The FHA made headlines in 2015 after reducing its annual mortgage insurance premium from 1.35 percent to 0.85 percent. This change drew many new borrowers into the market but also attracted some higher quality borrowers from the GSEs. As depicted below, the recent reduction in private mortgage insurance premiums will make GSE-backed loans cheaper for those with the highest credit scores. This change will draw some of the best qualified borrowers back to the GSEs from the FHA. Borrowers facing PMI increases will likely remain with the FHA. Some borrowers might pay more for PMI than FHA insurance but will switch to the GSEs because private mortgage insurance is extinguished when the loan-to-value rate reaches 78 percent, while the FHA’s insurance must be paid for the life of the loan.
A steady, stable flow of affordable credit is important for the housing market. The cost of both private and government supported insurance programs has improved since 2014, while still providing sufficient capital to maintain long-term soundness of insurers.
The increases in PMI fees for weaker borrowers will reinforce the FHA’s recent premium cuts retaining these borrowers at the FHA. Reduced fees for stronger borrowers will draw a small share of the FHA’s business to the private sector. As a result, the FHA is likely to remain a significant player in the market for low down payment borrowers. Retaining some of the stronger borrowers is important to keep insurance costs down in the FHA’s average cost model and to reduce any potential impact to tax payers. Thus, in the years to come as lenders reduce overlays on the FHA’s program and weaker borrower re-enter the market, the stronger borrowers in the FHA’s book of business will help to offset the cost of weaker borrowers.
First time buyers as well as buyers in high cost markets will benefit from improved mortgage insurance pricing in 2016. These changes reflect stronger capital rules intended to strengthen the financial health of the market, but they will also help to save consumers money.
- Existing-home sales decreased 7.1 percent in February from one month prior while new home sales rose 2 percent. These headline figures are seasonally adjusted figures and are reported in the news. However, for everyday practitioners, simple raw counts of home sales are often more meaningful than the seasonally adjusted figures. The raw count determines income and helps better assess how busy the market has been.
- Specifically, 314,000 existing-homes were sold in February while new home sales totaled 44,000. These raw counts represent a 4 percent gain for existing-home sales from one month prior while new home sales increased 16 percent. What was the trend in the recent years? Sales from January to February increased by 3 percent on average in the prior three years for existing-homes and rose 11 percent for new homes. So this year, both existing and new home sales outperformed compared to their recent norm.
- Why are seasonally adjusted figures reported in the news? To assess the overall trending direction of the economy, nearly all economic data – from GDP and employment to consumer price inflation and industrial production – are seasonally adjusted to account for regular events we can anticipate have an effect on data around the same time each year. For example, if December raw retail sales rise by, say, 20 percent, we should not celebrate this higher figure if it is generally the case that December retail sales rise by 35 percent because of holiday gift buying activity. Similarly, we should not say that the labor market is crashing when the raw count on employment declines in September just as the summer vacation season ends. That is why economic figures are seasonally adjusted with special algorithms to account for the normal seasonal swings in figures and whether there were more business days (Monday to Friday) during the month. When seasonally adjusted data say an increase, then this is implying a truly strengthening condition.
- What to expect about home sales in the upcoming months in terms of raw counts? Independent of headline seasonally adjusted figures, expect busier activity in March and even better activity in April for existing-home sales. For example, in the past 3 years, March sales typically increased by 26 to 37 percent from February and with more gains in April where sales rose by 11 to 19 percent from March. For the new home sales market, the raw sales activity in March tends to be better than that occurring in February, and activity is expected to grow more in April. For example, in the past 3 years, March sales rose by 2 to 14 percent from February while April sales typically rose by 4 to 5 percent from March.
- The number of individuals filing initial unemployment insurance claims continued to trend below 300,000 for the 57th consecutive week, the longest streak since 1973 according to the Department of Labor. In the week ended April 2, 267,000 claims were filed, a decrease of 9,000 from the previous week’s level. Initial claims for unemployment insurance are filed by workers who are starting a period of unemployment. Fewer number of claims filed indicates greater job security and stability.
- The continued low level of unemployment insurance claims is one of many labor market indicators that all point to sustained job growth (see Federal Reserve Board Governor Janet Yellen’s Labor Market Indicators Dashboard below). These indicators include the falling headline unemployment rate, fewer part-time workers, lower share of the long-term unemployed (27 weeks and over) to the unemployed, and the rising job openings rate.
Across most states, the number of initial claims filed is lower in Jan –March 2016 compared to the same period in 2015. However, claims have increased in some states, notably North Dakota, Wyoming, and Louisiana where the number of jobless claims are up by more than 10 percent. The increase in filings in these three states is likely associated with falling production as oil prices collapsed starting in mid-2015.
One way to examine changes in the housing market is to look at the prior living arrangements of buyers, specifically changes in the last decade. In 2015, 43 percent of all buyers rented an apartment or house before buying. Forty-six percent owned their previous home and 10 percent lived with parents, relatives, or friends. In 2005, 46 percent also owned their previous home and in the decade between that share remained relatively constant.
In 2010, however, those who owned their previous residence dipped significantly to 35 percent. 2010 was also the year that first-time home buyers saw their highest buying percentage in the market at 50% of all homes purchased that year, according to NAR’s 2015 Home Buyer and Seller Profile, due to the government’s tax credit offered to spur first-time buyers in the housing market. By 2011, the percentage of repeat buyers jumped back up to 47 percent, which is above the historical norm.
Examining changes in patterns of previous living arrangement for first-time home buyers in the last decade is also revealing. Namely that the patterns for renters and those living with friends and family have not changed drastically, instead remained steady throughout the last decade. This is interesting to note because the demographics for first-time home buyers has changed over time—the age has increased, income fluctuated, and household composition has grown—and yet the shares of the market that previously rented or lived with family has remained constant. The other interesting feature of first-time buyers is that roughly one-fifth (19 percent) reported living with family or friends in 2015, likely to help save for the downpayment.
For repeat buyers, there were a few more changes over time worth noting. We see a big change from 2007 to 2008 where buyers that previously rented an apartment or house jumped up from 19 percent to 23 percent. The trend accelerated to a peak of 25 percent in 2010 when the first-time home buyer credit helped push fence sitters to purchase in the market. Thereafter, that share fell sharply to 21 percent in 2001, before rising steadily to 27 percent by 2015.
In the 2014 Profile of Home Buyers and Sellers, we saw that eight percent of sellers sold a distressed property largely in 2009 as a result of the housing crisis. We can infer from this trend that the increase in buyers that previously rented—and quite possibly that owned a home once before but sold under distress—are starting to return to the market in the last few years from 2012 to 2015. A portion of this group started as home owners, had to rent for a period of time until market and economic conditions improved, and each year have begun to purchase homes again.
When the National Association of REALTORS® receives a bundle of inquires on a specific topic, its Research and Statistics Department is often asked to conduct a survey of its members to learn more about emerging topics affecting the real estate industry. At the beginning of 2016, there were several anecdotal stories of discrimination occurring in the market violating Fair Housing laws, as REALTOR Magazine aptly notes in the article Fair Housing Is In Your Hands for Fair Housing month this March 2016.
Concurrently, our survey analysts hunkered down to listen to our members. One might have thought that the anecdotal stories coming in demonstrate that discrimination is occurring quite frequently. On the contrary, the first question in the survey reveals that 83 percent of our members said they had never seen discrimination in their market area.
When the survey asked how often REALTORS see a potential fair housing issue in their transactions, 91 percent said never or almost never. Ninety-nine percent of REALTORS said that they talk with clients to address the potential issue if it arises. Ninety-nine percent also said they had never failed an ethics complaint regarding a fair housing issue.
The vocal nature of REALTORS thus shows that they are doing their due diligence to make the housing market fair and free from discrimination. It also indicates that real estate agents are likely to speak out against unfair practices. The survey also found that two-thirds of NAR members (64 percent) proactively discuss fair housing issues with buyers and sellers. Seventy percent of REALTORS said they bring up the topic of fair housing with clients, and that buyers and sellers rarely or never initiate the conversation themselves (83 percent).
Furthermore, 64 percent of REALTORS reported that they actively discuss fair housing issues in office meetings. Sixty-one percent also said that fair housing laws are effectively enforced in the market place. Eighty-five percent also reported that the fair housing laws have not prevented them from closing a transaction.
While it appears that discrimination is not widespread in the current housing market, it does not mean that it has been eradicated entirely. REALTOR members recognize the importance of safeguarding the market from unfair practices as it benefits the greatest number in the community. NAR members also noted that they also take courses to educate themselves on the issues, how to prevent potential violations, and what do in the event of discrimination.
- In 2015, the FHA reduced its annual mortgage insurance premium (MIP)
- Revenues subsequently increased
- The FHA can further reduce its fees, while maintaining sufficient capital on future pools to cover losses, administrative expenses, and a margin
- The fund will meet its capital ratio in a modestly longer timeline
In the spring of 2015, the Federal Housing Administration (FHA) reduced its annual insurance premium. The move was controversial as the FHA was below its statutory capital ratio of 2.0 percent. However, the reduction in the MIP generated an increase in demand for the FHA purchase and refinance product which helped the FHA reached its 2.0 percent capital ratio. The FHA’s fees remain historically high and a reasonable analysis suggests that there is still room for the fees to decline.
Following the financial crisis and great recession, the FHA expanded from less than 5 percent of the market at its boom-time nadir to its post-recession peak of more than 50 percent. The FHA was an important source of credit during and after the recession, wadding into the market as the countercyclical source of credit while the private sector pulled back. The FHA’s books took sharp losses as a result and fees were subsequently increased to limited adverse selection, to shore up the FHA’s books, and to help stimulate the private sector.
Between 2011 and 2014, market reforms like the ability to repay rule were implemented and the private mortgage insurance industry rebounded. To support consumer confidence and to continue the FHA’s financial recovery, the FHA’s annual mortgage insurance premium was reduced from 1.35 percent to 0.85 percent. Reducing a fee to improve its books appeared counter intuitive, but the then excessive fees were driving borrowers away from the FHA. Thus, by reducing its fee but retaining a healthy revenue margin, the FHA boosted loan volumes and total revenues.
In fiscal year 2015, the FHA breached its mandatory 2.0 percent capital ratio. However, the FHA’s forward book of business, which represents purchase and refinance mortgages, remains below this threshold. With continued profitability, the forward book of business too is expected to surpass the 2.0 percent mark and to keep progressing. With the 2.0 percent threshold in sight, it is reasonable to revisit the FHA’s pricing of its mortgage insurance. Overshooting a reasonable capital ratio may provide artificial solace, but it could also create negative externalities such as reducing borrowers’ capacity and a transfer of wealth from consumers to the government. Furthermore, reducing the rate of convergence on the capital ratio would be in line with other government insurance programs like the FDIC.
What is the Right Fee?
Following the methodology of Goodman, Bai, and Zhu of the Urban Institute (hereafter referred to as UI), the profitability of the FHA’s portfolio for 2015 to 2022 is estimated below. This analysis differs from that of the UI as it incorporates the FHA’s forecast of its portfolio for the period of 2015 to 2022 as well as its estimate of normal (43.4 percent) and stress (60.1 percent) severities. While these are lower than those incorporated by UI, they include losses accrued to the FHA as a result of the Seller Funded Down Payment Assistance Program. The delinquency rates and severities for this cohort were significantly higher than the rest of the FHA’s book and this program has since been eliminated. Thus, the updated severities remain conservative.
The 2015 book of business retains its strong credit profile, but the FHA projects an even stronger profile for 2015 through 2022. As a result, the FHA’s revenue growth is expected to increase modestly bringing in annual revenues of $3.55 billion. The sustained profitability is a boon for the program, but should be scaled back to avoid overshooting the intended goal. Reducing profitability to 1.87 percent per the FHA’s target as outlined in its proposed supplement performance metric could allow for a reduction of its annual fee of roughly 10 basis points, while still generating annual revenues of roughly $2.6 billion. Alternatively, a decline in the profitability to 1.0 percent, enough to cover 8 basis points of administrative fees and a small margin, could reduce the MIP by as much as 25 basis points, while netting nearly $1.4 billion in annual revenues.
Fund Still Reaches Capital Ratio
Reducing the FHA’s premium would reduce the economic value or the current value of its total future earning adjusted for inflation on each year’s book. However, under either scenario the FHA’s resources would continue to grow. A 10 basis point reduction in the MIP would yield revenue of roughly 1.4 percent net of administrative expenses. With a 1.4 percent ratio of the economic value to the endorsement volume, the capital ratio for the forward book of business would be met in 2017 instead of 2016 as under the baseline. With a more aggressive 25 basis point reduction, the economic value of future books is reduced to 0.5 percent of endorsements and the forward book of business reaches the 2.0 capital ratio in 2022 (See appendix).
The Consumer Benefits
A reduction in MIP would have real impacts for a borrower. A 10 basis point reduction would save a borrower with a $200,000 mortgage roughly $17 each month or $200 per year. The benefit grows with the size of fee reduction more than $50 per month or reaching $600 annually for a reduction of the annual insurance fee from 0.85 percent to 0.55 percent.
Overlays Will End
Another important trend in recent years has been lender overlays. The Department of Justice sued several lenders under the False Claims Act arguing that loans originated did not comply with FHA’s underwriting requirements. Under the law lenders were subject to triple damages and as a result many in the lending community became risk averse and deployed overlays. Efforts are underway to remedy this situation. As lender confidence grows, the share of borrowers in the FHA program with lower credit scores will expand, but the FHA has likely incorporated this scenario into its estimates. The stronger borrowers attracted by lower fees will help to support a broad portfolio as overlays normalize and to achieve the FHA’s goal of access.
A Path to Normalization
The FHA stepped in to support the market as countercyclical lender of last resort. The agency’s fees rose to offset losses, to prevent adverse selection and to stimulate the private market. With market reforms in place and a robust private mortgage insurance market returned, its time reevaluate the FHA’s fees. The FHA’s book will reflect a different mix of borrowers over the next 8 years and with a broad credit base and reduced fees, it is well positioned to support its role in the market.
 See the appendix for a full list of assumptions.
 FHA projects the 620-679 credit cohort. For this analysis this projection was split between the 620-639 and 640-679 credit cohorts using the 2015 distribution.
 Assuming no change in endorsement volume